Machine Learning Engineer
SweedFull Time
Mid-level (3 to 4 years)
Key technologies and capabilities for this role
Common questions about this position
Yes, this is a remote position.
This information is not specified in the job description.
Required skills include strong analytical skills and ability to work with data, proven ability to design, build, and ship production-ready models, proficiency in your ML framework of choice, strong coding skills in languages like Python, Go, Java, C++, and ability to thrive in a customer-focused, tight-knit and cross-functional environment.
Glean has a diverse team of curious and creative people who want to help each other get big things done. They emphasize a customer-focused, tight-knit, and cross-functional environment.
Candidates need 2+ years of experience and a BA/BS in computer science, math, sciences, or a related degree. Proficiency in ML frameworks and strong coding skills are also key for a strong application.
AI-powered search tool for workplace productivity
Glean enhances workplace productivity by providing an AI-powered search tool that works across all applications within a company. This tool utilizes deep learning-based Language Models to understand natural language queries, allowing users to find information more easily. It continuously learns from the specific language and context of a company, improving the relevance of search results without manual adjustments. Additionally, Glean offers a chat assistant that can analyze and summarize information from various company documents and conversations, further increasing efficiency. Unlike many competitors, Glean's focus on natural language processing and its ability to adapt to a company's unique context set it apart. The goal of Glean is to streamline information retrieval in the workplace, making it accessible and efficient for all types of organizations, from startups to large enterprises.